Novel Voltage Sag Protection Topology of Contactors for Uninterrupted Switching Capability

Yang, Dongsheng; Gao, Xiaoting; Ma, Zhen; Cui, Enchang; Zhang, Huaguang

doi:10.1109/tia.2018.2822812

Cited by 24 publications

(6 citation statements)

References 18 publications

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“…In recent years, the large-scale integration of renewable energy, based on power electronics and automatic control technology into the grid, has caused many power quality problems. Among them, voltage sag is the most important problem [1][2][3]. At the same time, high-end manufacturing processes, such as semiconductor manufacturing and automobile manufacturing, utilize many sensitive devices, which are very sensitive to voltage sag.…”

Section: Introductionmentioning

confidence: 99%

A Voltage Sag Severity Evaluation Method for the System Side Which Considers the Influence of the Voltage Tolerance Curve and Sag Type

Fan

Deng

et al. 2021

Energies

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Considering the influence of user equipment voltage tolerance characteristics and sag types on the evaluation results, this paper proposes a voltage sag severity evaluation method for the system side which considers the influence of the voltage tolerance curve and sag type. As such, a quantitative evaluation of the severity of voltage sag events can be achieved. Firstly, the user’s voltage tolerance curve is used to construct the comparison reference value of the energy index, in order to realize the rapid analysis of the severity of the sag event in the normal area and the abnormal area. Secondly, aiming at the problem of insufficient descriptions of the severity difference of sag events in uncertain areas, an improved energy index evaluation model combined with user tolerance characteristics is established through an interval division and interval weight calculation, so as to divide and evaluate the severity of sag events in uncertain areas. Considering the influence of the sag type on the voltage tolerance curve and user equipment, the energy index correction factor is then constructed, and the measurement function is used for an interval evaluation to obtain the ranking result of the voltage sag severity, which is more in line with the actual situation. Finally, the rationality and effectiveness of the proposed method are verified by analyzing 24 voltage sag events at a monitoring node.

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Section: Introductionmentioning

confidence: 99%

A Voltage Sag Severity Evaluation Method for the System Side Which Considers the Influence of the Voltage Tolerance Curve and Sag Type

Fan

Deng

et al. 2021

Energies

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show abstract

“…In response to this situation, methods to manage voltage sag risk and reduce the losses of enterprises are various and can be classified into two categories: technical methods [4, 5] and economic methods [6, 7]. On the one hand, the sensitive enterprises who suffer from voltage sag (the term ‘voltage sag’ mentioned below includes voltage sag and momentary interruption) normally choose to install custom power devices like static synchronous compensator (STATCOM) [3], uninterrupted power supply (UPS) [8] and dynamic voltage restorer (DVR) [9] to maintain the continuous operation of the production lines. Moreover, to deal with uncertainties and constraints, the optimal allocation of those power devices during the planning stage has been studied.…”

Section: Introductionmentioning

confidence: 99%

Severity index‐based voltage sag insurance for high‐tech enterprises

Chen

Xiao

Wang

et al. 2020

IET Generation, Transmission & Distribution

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“…F AULT diagnosis is a critical and non-trivial task in complex system network applications such as energy internet to improve the reliability and reduce the loss caused by a large number of potential incidents [1], [2]. The fault diagnosis algorithms and methods introduced so far can be categorized as follows [3] • mechanism model based analysis • analysis based on expertise and prior knowledge • wide area monitoring based signal processing The mechanism model is often built on the basis of the physical principles and around some fault scenarios, such as the voltage sag or the power flow.…”

Section: Introductionmentioning

confidence: 99%

Fault Diagnosis for Energy Internet Using Correlation Processing-Based Convolutional Neural Networks

Yang

Pang

Zhou

et al. 2019

IEEE Trans. Syst. Man Cybern, Syst.

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Fault feature extraction based on prior knowledge and raw data is increasingly becoming more challenging in energy internet fault diagnosis due to complicated network topology and coupling disturbances introduced into the systems. Deep learning methods that have emerged in recent years, such as the convolutional neural networks (CNNs), have shown a number of advantages and great potentials in the field of feature extraction and image recognition. However, CNNs does not work well in fault diagnosis for industrial systems, due to the totally different data representations between images used in recognition and signals obtained from industrial processes. This paper tackles this problem by introducing a novel and generic fault diagnosis method for complicated system namely the Spearman rank correlation based CNNs (SR-CNN). By imposing the Spearman rank correlation image layer on the typical CNNs, the multiple time series signals measured by the phasor measurement units (PMUs) is converted to appropriate data images, which are then fed to the CNNs. With the aid of this novel design, different fault features can be comprehensively extracted while the fault can be identified more quickly and precisely than other conventional approaches. To validate the efficacy of the proposed approach, an IEEE defined power gird with multi new energy resources are used as the test platform. The experimental results confirm the effectiveness and superiority of the proposed method in energy internet fault diagnosis over conventional methods.

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Novel Voltage Sag Protection Topology of Contactors for Uninterrupted Switching Capability

Cited by 24 publications

References 18 publications

A Voltage Sag Severity Evaluation Method for the System Side Which Considers the Influence of the Voltage Tolerance Curve and Sag Type

A Voltage Sag Severity Evaluation Method for the System Side Which Considers the Influence of the Voltage Tolerance Curve and Sag Type

Severity index‐based voltage sag insurance for high‐tech enterprises

Fault Diagnosis for Energy Internet Using Correlation Processing-Based Convolutional Neural Networks

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